Design of Biomedical Robots for the Analysis of Cancer, Neurodegenerative and Rare Diseases. - Juan Luis Fernández Martínez; Enrique J. deAndrés-Galiana; Stephen T. Sonis (ICMMI, 2015)

The Genomic Medicine Game. - Elvis Tran; Enrique J. de Andrés-Galiana; Sonia E. Benitez; Fernando Martín-Sánchez; Guillermo López-Campos (MIE, 2016)

Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems. - Enrique J. deAndrés-Galiana; Juan Luis Fernández Martínez; Oscar Luaces; Juan José del Coz; Leticia Huergo-Zapico; Andrea Acebes-Huerta; Segundo González; Ana P. González-Rodríguez (J. Biomed. Informatics, 2016)

Sensitivity analysis of gene ranking methods in phenotype prediction. - Enrique J. deAndrés-Galiana; Juan Luis Fernández Martínez; Stephen T. Sonis (J. Biomed. Informatics, 2016)

Design of Biomedical Robots for Phenotype Prediction Problems. - Enrique J. deAndrés-Galiana; Juan Luis Fernández Martínez; Stephen T. Sonis (J. Comput. Biol., 2016)

Impact of Microarray Preprocessing Techniques in Unraveling Biological Pathways. - Enrique J. deAndrés-Galiana; Juan Luis Fernández Martínez; Leorey N. Saligan; Stephen T. Sonis (J. Comput. Biol., 2016)

Sampling Defective Pathways in Phenotype Prediction Problems via the Fisher's Ratio Sampler. - Ana Cernea; Juan Luis Fernández Martínez; Enrique J. deAndrés-Galiana; Francisco Javier Fernández-Ovies; Zulima Fernández-Muñiz; Óscar Álvarez-Machancoses; Leorey N. Saligan; Stephen T. Sonis (IWBBIO (2), 2018)

Comparison of Different Sampling Algorithms for Phenotype Prediction. - Ana Cernea; Juan Luis Fernández Martínez; Enrique J. deAndrés-Galiana; Francisco Javier Fernández-Ovies; Zulima Fernández-Muñiz; Óscar Álvarez-Machancoses; Leorey N. Saligan; Stephen T. Sonis (IWBBIO (2), 2018)

Sampling Defective Pathways in Phenotype Prediction Problems via the Holdout Sampler. - Juan Luis Fernández Martínez; Ana Cernea; Enrique J. deAndrés-Galiana; Francisco Javier Fernández-Ovies; Zulima Fernández-Muñiz; Óscar Álvarez-Machancoses; Leorey N. Saligan; Stephen T. Sonis (IWBBIO (2), 2018)

Detection of Breast Cancer Using Infrared Thermography and Deep Neural Networks. - Francisco Javier Fernández-Ovies; Edwin Santiago Alférez-Baquero; Enrique Juan de Andrés-Galiana; Ana Cernea; Zulima Fernández-Muñiz; Juan Luis Fernández Martínez (IWBBIO (2), 2019)

Analysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches. - Enrique J. deAndrés-Galiana; Guillermina Bea; Juan Luis Fernández Martínez; Leo N. Saligan (Comput. Biol. Medicine, 2019)

The Utilization of Different Classifiers to Perform Drug Repositioning in Inclusion Body Myositis Supports the Concept of Biological Invariance. - Óscar Álvarez-Machancoses; Enrique J. deAndrés-Galiana; Juan Luis Fernández Martínez; Andrzej Kloczkowski (ICAISC (1), 2020)

Robust pathway sampling in phenotype prediction. Application to triple negative breast cancer. - Ana Cernea; Juan Luis Fernández Martínez; Enrique J. deAndrés-Galiana; Francisco Javier Fernández-Ovies; Óscar Álvarez-Machancoses; Zulima Fernández-Muñiz; Leorey N. Saligan; Stephen T. Sonis (BMC Bioinform., 2020)

Analysis of transcriptomic responses to SARS-CoV-2 reveals plausible defective pathways responsible for increased susceptibility to infection and complications and helps to develop fast-track repositioning of drugs against COVID-19. - Enrique J. deAndrés-Galiana; Juan Luis Fernández Martínez; Óscar Álvarez-Machancoses; Guillermina Bea; Carlos M. Galmarini; Andrzej Kloczkowski (Comput. Biol. Medicine, 2022)

Prediction of Functional Effects of Protein Amino Acid Mutations. - Óscar Álvarez-Machancoses; Eshel Faraggi; Enrique J. de Andrés-Galiana; Juan Luis Fernández Martínez; Andrzej Kloczkowski (IWBBIO (2), 2023)